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DOI:
:2007,20(12):-
本文二维码信息
无线传感器节点低功耗的研究
章坚武 *,张季姬
(杭州电子科技大学 通信与信息系统研究所,浙江 杭州 310018)
Analysis and study of low energy dissipation on a wireless sensor node
ZHANG Jian-wu *, ZHANG Ji-ji
(Institue of Communication and Information System, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China)
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中文摘要: 为了最大限度地延长传感器节点的生存时间,电路、结构、算法和协议必须满足能量有效性。就单个传感器节点角度来看,可以节省能耗的方法有很多,其中动态功率管理(DPM)和动态电压调节(DVS)是两种有效节省CPU能耗的方法。在三星S3C2410芯片上测试,改变处理器的频率,验证了功耗和频率的线性关系。通过仿真分析了CPU能耗与缓冲器长度的关系,说明了缓冲器溢出概率对CPU功耗的影响关系,得出在DVS的基础上增加缓冲器长度或降低溢出概率可以进一步节省能耗。
Abstract:In order to maximize the lifetime of a sensor node, circuits, architecture, algorithms and protocols must be energy efficient. There are many methods to reduce the energy of a node, among them dynamic power manage (DPM) and dynamic voltage supply (DVS) are two effective mechanisms to achieve CPU energy saving. On the test board of Samsung S3C2410, changing the frequency of CPU, verified the linear relation that consumption and frequency. Additional energy savings can be attained by increasing the buffer length and reducing an order of magnitude of buffer overflow probability base on DVS. This paper presents the impacts of buffer length and buffer overflow probability on CPU energy introducing DVS mechanism.
文章编号:cg071230     中图分类号:    文献标志码:
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章坚武 *  张季姬 杭州电子科技大学 通信与信息系统研究所,浙江 杭州 310018
ZHANG Jian-wu *  ZHANG Ji-ji Institue of Communication and Information System, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China
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